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Experimental results exhibit that each anatomical and protocol variances are enabling factors for DNN-based US reconstruction; and learning the best way to discriminate various topics and predefined varieties of scanning paths both of those noticeably strengthen frame prediction precision, quantity reconstruction overlap, gathered monitoring error